## 
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
## 
##     filter, lag
## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

1 MSEA Age Category <50

1.1 M1 P1

Using estimates from Phase 1 M1 age <50

1.2 M2 P1

Using estimates from Phase 1 M2 age <50

1.3 M1 P1

Using estimates from Phase 1 M1 age <50

1.4 M2 P2

Using estimates from Phase 2 M2 age <50

2 MSEA Age Category 50-59

2.1 M1 P1

Using estimates from Phase 1 M1 age 50-59

2.2 M2 P1

Using estimates from Phase 1 M2 age 50-59

2.3 M1 P1

Using estimates from Phase 1 M1 age 50-59

2.4 M2 P2

Using estimates from Phase 2 M2 age 50-59

3 MSEA Age Category 60-69

3.1 M1 P1

Using estimates from Phase 1 M1 age 60-69

3.2 M2 P1

Using estimates from Phase 1 M2 age 60-69

## Warning in fgseaMultilevel(pathways = pathways, stats = stats, minSize =
## minSize, : There were 1 pathways for which P-values were not calculated
## properly due to unbalanced (positive and negative) gene-level statistic values.
## For such pathways pval, padj, NES, log2err are set to NA. You can try to
## increase the value of the argument nPermSimple (for example set it nPermSimple
## = 10000)

3.3 M1 P1

Using estimates from Phase 1 M1 age 60-69

## Warning in fgseaMultilevel(pathways = pathways, stats = stats, minSize =
## minSize, : There were 1 pathways for which P-values were not calculated
## properly due to unbalanced (positive and negative) gene-level statistic values.
## For such pathways pval, padj, NES, log2err are set to NA. You can try to
## increase the value of the argument nPermSimple (for example set it nPermSimple
## = 10000)

3.4 M2 P2

Using estimates from Phase 2 M2 age 60-69

## Warning in fgseaMultilevel(pathways = pathways, stats = stats, minSize =
## minSize, : There were 1 pathways for which P-values were not calculated
## properly due to unbalanced (positive and negative) gene-level statistic values.
## For such pathways pval, padj, NES, log2err are set to NA. You can try to
## increase the value of the argument nPermSimple (for example set it nPermSimple
## = 10000)

4 MSEA Age Category 70-85

4.1 M1 P1

Using estimates from Phase 1 M1 age 70-85

## Warning in fgseaMultilevel(pathways = pathways, stats = stats, minSize =
## minSize, : There were 1 pathways for which P-values were not calculated
## properly due to unbalanced (positive and negative) gene-level statistic values.
## For such pathways pval, padj, NES, log2err are set to NA. You can try to
## increase the value of the argument nPermSimple (for example set it nPermSimple
## = 10000)

4.2 M2 P1

Using estimates from Phase 1 M2 age 70-85

## Warning in fgseaMultilevel(pathways = pathways, stats = stats, minSize =
## minSize, : There were 1 pathways for which P-values were not calculated
## properly due to unbalanced (positive and negative) gene-level statistic values.
## For such pathways pval, padj, NES, log2err are set to NA. You can try to
## increase the value of the argument nPermSimple (for example set it nPermSimple
## = 10000)

4.3 M1 P1

Using estimates from Phase 1 M1 age 70-85

## Warning in fgseaMultilevel(pathways = pathways, stats = stats, minSize =
## minSize, : There were 1 pathways for which P-values were not calculated
## properly due to unbalanced (positive and negative) gene-level statistic values.
## For such pathways pval, padj, NES, log2err are set to NA. You can try to
## increase the value of the argument nPermSimple (for example set it nPermSimple
## = 10000)

4.4 M2 P2

Using estimates from Phase 2 M2 age 70-85

## Warning in fgseaMultilevel(pathways = pathways, stats = stats, minSize =
## minSize, : There were 1 pathways for which P-values were not calculated
## properly due to unbalanced (positive and negative) gene-level statistic values.
## For such pathways pval, padj, NES, log2err are set to NA. You can try to
## increase the value of the argument nPermSimple (for example set it nPermSimple
## = 10000)